Fengzhushou Co (301382) Fair Value & Analysis
Technology · CN · Market cap 10.6B CNY
Analysis
Fengzhushou Co (301382) currently trades at ¥43.99, while our model-based Fair Value estimate is ¥10.79 — implying the stock looks roughly 75.5% overvalued today. We read business quality at 93/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Fengzhushou Co., Ltd. provides comprehensive operation service of digital goods and sells hardware in China. The company offers mobile Internet digital goods aggregation operation, fusion operation, and distribution operation services; various digital commodity services including communication services, membership recharge, e-commerce shopping cards, vouchers/takeaway coupons, and other mobile applications; Internet card package customization and IoT traffic management platform; PaaS-enabled wireless transmission fusion scheduling product; cloud application; and CPE set-top box. It also develops base station, gateway, meter gas sensor, wireless circuit breaker, and smoke detector and sensor; and parking cloud platform for efficient parking/car search, parking space management, accurate billing, and self-service/non-inductive payment. Fengzhushou Co., Ltd. was formerly known as Guangdong Fengzhushou Network Technology Co.,Ltd. and changed its name to Fengzhushou Co., Ltd. in November…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.